Past Events

Apr

PACM Colloquium

Jeremy Hoskins, University of Chicago

Single-excitation quantum optics: analysis and algorithms

Apr

PACM Colloquium

Leon Bottou, Facebook AI

Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs, Léon Bottou

Apr

PACM Colloquium

Lexing Ying, Stanford University

Some Mathematical Aspects of Deep Learning and Stochastic Gradient Descent

Apr

PACM Colloquium

Oanh Nguyen, Brown University

Roots of the Kac polynomials

Mar

PACM Colloquium

Vlad Vicol, New York University

On anomalous diffusion

Mar

PACM Colloquium

Amir Sagiv, Colombia University

A Measure Perspective on Uncertainty Quantification

Feb

PACM Colloquium

Jianfeng Lu, Duke University

Analysis of score-based generative models

Feb

PACM Colloquium

PACM Graduate Students, Princeton University

Feb

PACM Colloquium

Oded Regev, New York University

Machine learning for discovery: deciphering RNA splicing logic

Feb

PACM Colloquium

Lin Lin, UC Berkeley University

Quantum algorithms for eigenvalue problems

Nov

PACM Colloquium

Tirza Routtenberg, Ben-Gurion University, Israel

Estimation After Model Selection

Nov

PACM Colloquium

Joe Kileel, University of Texas, Austin

Efficient tensor operations and the method of moments

Nov

PACM Colloquium

Matt Weinberg, Princeton University

A (biased Selection of) recent developments in combinatorial auctions

Oct

PACM Colloquium

Ryan Adams, Princeton University

Learning Space-Group Invariant Functions

Oct

PACM Colloquium

Luigi Martinelli, Princeton University

High-Order Numerical Methods for Computational Fluid Dynamics

Oct

PACM Colloquium

Gadi Fibich, Tel Aviv University

Diffusion of new products on networks

Oct

PACM Colloquium

Dustin Mixon, Ohio State University

Group-Invariant Max Filtering

Sep

PACM Colloquium

Boaz Nadler, Weizmann Institute of Science

Completing large low rank matrices with only few observed entries: A one-line algorithm with provable guarantees